Monitor container fill levels with GSMCloud's cloud-based IIoT solution. Get a full overview of capacity, emptying times, and status across locations, and receive automatic alerts when emptying is required – no local IT infrastructure needed.
Waste monitoring is all about gaining full insight into your waste management through continuous measurement of fill levels in containers and bins. Using intelligent IoT sensors, GSMCloud collects data in real time and sends it securely to the cloud. Here your data is visualised in clear dashboards that can be used for accurate alerts, historical documentation and demand-driven collection. With this solution, it becomes possible to schedule emptying according to actual need rather than fixed, expensive intervals.
With GSMCloud, renovation companies can optimise routes and emptying schedules by continuously monitoring the fill level of each individual container. Real-time data allows for prioritisation of containers that actually need emptying, thereby reducing unnecessary journeys and improving resource utilisation.
Set up alarms for critical limit values, e.g. when a container is nearly full or needs to be emptied shortly. Notifications can be sent to operations managers, so overflowing containers, operational downtime, and dissatisfied customers are prevented in time.
The solution can utilise a compact BLE 5.0 distance sensor with ToF technology for level measurement and presence detection. The sensor can measure up to 3 metres, is IP67 protected and has up to 3 years of battery life, making it suitable for demanding environments and many different container types.
With GSMCloud, the fill level in many containers and locations can be monitored collectively on one platform. This provides a uniform overview of status, history, and emptying needs, making the solution suitable for both municipal and private waste management operators with many units in operation.
Can be set up and customised as desired. Can be displayed on a large screen in your organisation.
Historical measurement data allow for the analysis of load, emptying frequency and seasonal variations. This provides a better basis for route optimisation, capacity planning, and documentation for customers, partners, and municipalities.
